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Researcher · HRL Laboratories (United States) · United States

Kang-Yu Ni

Kang-Yu Ni publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Statistical and Nonlinear Physics, on topics such as Sparse and Compressive Sensing Techniques, Medical Image Segmentation Techniques and Complex Network Analysis Techniques.

OpenAlex
World rank
#4,958,687
of 7,710,434 ranked researchers
Rank in United States
#1,289,819
of 1,627,098
Works
31
Citations
409
Citations per work
13.2
h-index
8
i10-index 7Top 60% in Computer Vision and Pattern Recognition
Kang-Yu Ni

What does Kang-Yu Ni research?

Kang-Yu Ni's work is mostly in Computer Science (35%), Engineering (18%), Physics and Astronomy (6%).

Physical Sciences: 18 works · 59.6% of their workComputer Science: 11 works · 34.7% of their workComputer Vision and Pattern Recognition: 9 works · 30.4% of their workArtificial Intelligence: 1 works · 4.3% of their workEngineering: 6 works · 18.4% of their workComputational Mechanics: 4 works · 13.0% of their workBiomedical Engineering: 2 works · 5.4% of their workPhysics and Astronomy: 2 works · 6.5% of their workStatistical and Nonlinear Physics: 2 works · 6.5% of their workEverything else: 12 works · 37.1% of their workHealth Sciences: 1 works · 3.3% of their workMedicine: 1 works · 3.3% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 3.3% of their workTHEIR WORKKang-Yu Ni31works
Physical Sciences60%Health Sciences3%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1134.7%
    2. Engineering618.4%
    3. Physics and Astronomy26.5%
  2. Everything else1237.1%
    1. Medicine13.3%
  1. 1Computer Vision and Pattern Recognition30% of their works
  2. 2Computational Mechanics13% of their works
  3. 3Statistical and Nonlinear Physics6% of their works
  4. 4Biomedical Engineering5% of their works
  5. 5Artificial Intelligence4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging3% of their works

Research topics

Which keywords describe Kang-Yu Ni's research?

The keywords of their largest research topics: Deep Learning, Compressed Sensing, Sparse Representation, Image Segmentation, Medical Image Analysis, Community Structure, Network Dynamics and Hough Transform.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 17 words, with their numbers
  1. Deep Learning154 topics
  2. Compressed Sensing101 topic
  3. Sparse Representation101 topic
  4. Image Segmentation71 topic
  5. Medical Image Analysis71 topic
  6. Community Structure51 topic
  7. Network Dynamics51 topic
  8. Hough Transform41 topic
  9. Image Denoising41 topic
  10. Line Detection41 topic
  11. Sparse Representations41 topic
  12. Computer Graphics21 topic
  13. Feature Matching21 topic
  14. Graph Neural Networks21 topic
  15. Knowledge Graph Embedding21 topic
  16. Local Descriptors21 topic
  17. Visualization21 topic

Where does Kang-Yu Ni work?

Kang-Yu Ni's main affiliation in the publication record is HRL Laboratories (United States), United States.

How many publications and citations does Kang-Yu Ni have?

OpenAlex counts 31 works and 409 citations for Kang-Yu Ni, an h-index of 8, ranking #4,958,687 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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